Detection of Diabetic Retinopathy and Maculopathy in Eye Fundus Images Using Fuzzy Image Processing

Sami Suhaila Rahim, Vasile Palade, Chrisina Jayne, Andreas Holzinger, James Shuttleworth

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


Diabetic retinopathy is a damage of the retina and it is one of the serious consequences of the diabetes. Early detection of diabetic retinopathy is extremely important in order to prevent premature visual loss and blindness. This paper presents a novel automatic detection of diabetic retinopathy and maculopathy in eye fundus images using fuzzy image processing. The detection of maculopathy is essential as it will eventually cause loss of vision if the affected macula is not timely treated. The developed system consists of image acquisition, image preprocessing with a combination of fuzzy techniques, feature extraction, and image classification by using several machine learning techniques. The fuzzy-based image processing decision support system will assist in the diabetic retinopathy screening and reduce the burden borne by the screening team.
Original languageEnglish
Title of host publicationBrain Informatics and Health, Lecture Notes in Artificial Intelligence LNAI
EditorsYike Guo, Karl Friston, Aldo A. Faisal, Sean Hill, Hanchuan Peng
Place of PublicationCham, Heidelberg, New York, Dordrecht, London
PublisherSpringer International
ISBN (Electronic)978-3-319-23344-4
ISBN (Print)978-3-319-23343-7
Publication statusPublished - 2015
EventInteractive Machine Learning with the “human-in-the-loop”: 8th international special session of the HCI-KDD expert group - Imperial College London, London, United Kingdom
Duration: 1 Sept 20151 Sept 2015

Publication series

NameLecture Notes in Artificial Intelligence


ConferenceInteractive Machine Learning with the “human-in-the-loop”
Abbreviated titleiML@BIH
Country/TerritoryUnited Kingdom
Internet address


  • Machine Learning
  • Health Informatics
  • Classifiers
  • Diabetic retinopathy
  • eye screening

ASJC Scopus subject areas

  • Artificial Intelligence

Fields of Expertise

  • Information, Communication & Computing

Treatment code (Nähere Zuordnung)

  • Basic - Fundamental (Grundlagenforschung)
  • Experimental


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